Max-linear models in random environment
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Publication:2140875
DOI10.1016/j.jmva.2022.104999OpenAlexW4220691250MaRDI QIDQ2140875
Ercan Sönmez, Claudia Klüppelberg
Publication date: 23 May 2022
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.06102
percolationinfinite graphextreme value theorygraphical modelBernoulli bond percolationrecursive max-linear model
Extreme value theory; extremal stochastic processes (60G70) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Multivariate analysis (62Hxx)
Cites Work
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- A continuous updating weighted least squares estimator of tail dependence in high dimensions
- Maximums on trees
- Interacting particle systems. With a new postface.
- Irreversible \(k\)-threshold processes: Graph-theoretical threshold models of the spread of disease and of opinion
- Stationary max-stable fields associated to negative definite functions
- Oriented percolation in two dimensions
- A spectral representation for max-stable processes
- max-infinitely divisible and max-stable sample continuous processes
- Max-linear models on directed acyclic graphs
- Enlargement of subgraphs of infinite graphs by Bernoulli percolation
- Maxima and sums of non-stationary random length sequences
- Multivariate extremes of random scores of particles in branching processes with max-linear heredity
- Homogenization via sprinkling
- Extremal stochastic integrals: a parallel between max-stable processes and \(\alpha\)-stable processes
- On the effect of adding ε-Bernoulli percolation to everywhere percolating subgraphs of Zd
- Random Graphs and Complex Networks
- Information ranking and power laws on trees
- Nonparametric Analysis of Extremes on Web Graphs: PageRank Versus Max-Linear Model
- Percolation
- Asymptotic analysis for personalized Web search
- Percolation
- Improved upper bounds for the critical probability of oriented percolation in two dimensions
- Networks
- Identifiability and estimation of recursive max‐linear models
- Heavy-Tail Phenomena